The document presents a method for unsupervised machine translation evaluation using universal phrase tags. It designs a mapping between phrase tags from different treebanks to 9 universal tags. An unsupervised metric called HPPR is introduced to measure similarity between the universal phrase sequences of the source and translated sentences. Experiments on French-English data show HPPR achieves promising correlations with human judgments without using reference translations.